henhaobio
Sign in

bioRxivBioinformaticsPreprint

OCD.py - Characterizing immunoglobulin inter-domain orientations

Valentin J. HoerschingeriD, Monica L. Fernández‐QuinteroiD, Franz WaibliD, Johannes KramliD, Alexander BujotzekiD, Guy J. GeorgesiD, Klaus Roman LiedliD

PDFDOICode

Abstract

SummaryInter-domain orientations between immunoglobulin domains are important for the modeling and engineering of novel antibody therapeutics. Previous tools to describe these orientations are applicable only to the variable domains of antibodies and T-cell receptors. We present the "Orientation of Cylindrical Domains (OCD)" tool, which employs a transferable approach to calculate inter-domain orientations for all immunoglobulin domains. Based on a reference structure, the OCD tool automatically builds a suitable reference coordinate system for each domain. Through alignment, the reference coordinate systems are transferred onto the sample to calculate six measures which fully characterize the inter-domain orientation. Availability and implementationThe OCD approach is implemented as a stand-alone Python script, OCD.py, which can handle multiple types of data input for the analysis of single structures and molecular dynamics trajectories alike. OCD.py is available at https://github.com/liedllab/OCD under MIT license. Supplementary InformationSupplementary information and data are available at Bioinformatics online.

Citations
5

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISTawfeeq '25Youkharibac '21Hauser '26Sen '22Cagiada '25Kelow '22
52% semantic matchBioinformatics
Caesar Tawfeeq, Jiyao Wang, Umesh Khaniya+4 more·PLoS Computational Biology·Apr 14, 2025· 11 citations